Hongqin Zhang
Biographic Data
| ID | 7970381 |
|---|---|
| NAME | Hongqin Zhang |
| GIVEN NAMES | Hongqin |
| FAMILY NAME | Zhang |
| SIGNATURE | ZHANG H |
| AFFILIATIONS | Anhui Mental Health Center |
| ORCID | 0000-0003-1440-7365 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Undergraduate nursing students' attitudes and needs regarding the use of generative artificial intelligence in professional learning
Objective: This study aimed to explore undergraduate nursing students 'attitudes toward and needs regarding the use of generative artificial intelligence (AI) in professional learning, to provide a reference for the better integration of generative AI into nursing education. Methods: This study employed a qualitative research design. Guided by Colaizzi's seven-step method, semi-structured in-depth interviews were conducted with 18 undergraduate n…
Increased 10-year cardiovascular disease risk in depressed patients with coexisting subclinical hypothyroidism
Our study suggests that female depressed patients with SH have a high 10-year CVD risk. Serum TSH levels and HAMA scores may be helpful to predict cardiovascular risk in female patients with SH. The increased CVD risk in female depressed patients with comorbid SH requires more attention from researchers and clinicians
No prominent works on this page.
Increased 10-year cardiovascular disease risk in depressed patients with coexisting subclinical hypothyroidism
Our study suggests that female depressed patients with SH have a high 10-year CVD risk. Serum TSH levels and HAMA scores may be helpful to predict cardiovascular risk in female patients with SH. The increased CVD risk in female depressed patients with comorbid SH requires more attention from researchers and clinicians
Undergraduate nursing students' attitudes and needs regarding the use of generative artificial intelligence in professional learning
Objective: This study aimed to explore undergraduate nursing students 'attitudes toward and needs regarding the use of generative artificial intelligence (AI) in professional learning, to provide a reference for the better integration of generative AI into nursing education. Methods: This study employed a qualitative research design. Guided by Colaizzi's seven-step method, semi-structured in-depth interviews were conducted with 18 undergraduate n…
AI in Service Interactions (1 works) · Artificial Intelligence in Healthcare and Education (1 works) · Depression (economics (1 works) · Disease (1 works) · Euthyroid (1 works) · Framingham Risk Score (1 works) · Generative grammar (1 works) · Generative model (1 works) · Humanism (1 works) · Internal Medicine (1 works)